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Background <p>Patients with Epilepsy are at risk for maladaptive online behaviors due to isolation and reduced social engagement, with anxiety contributing to excessive online activities and problematic internet use. Therefore, this observational, cross-sectional study sought to assess the rate and severity of internet use and anxiety among 130 conveniently selected patients with epilepsy, in relation to the severity of their condition. The clinical neurology sheet, EEG, National Hospital Seizure Severity Scale, Young Internet Addiction Scale, and Hamilton Anxiety Rating Scale were applied to all patients.</p> Results <p>The study indicated a high prevalence of Internet addiction and anxiety among patients with epilepsy, with 73.1% exhibiting Internet addiction, of which 35% had moderate severity. Additionally, 43% of the subjects presented with severe anxiety symptoms. Factors such as young age, unmarried social status, and levetiracetam use increase the risk of internet addiction. Severe epilepsy is predicted by both addiction and anxiety. While young age and severe epilepsy predict internet addiction.</p> Conclusion <p>The study emphasizes the importance of screening for internet addiction in patients with epilepsy and suggests that reducing screen time could help break the cycle of anxiety and isolation.</p>

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Rate of internet addiction and anxiety among a sample of patients with epilepsy: a cross-sectional study in Egypt

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月17日

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  • Nahla ElSayed Nagy,
  • Nesreen Mohamed Mohsen,
  • Hanan Elrassas,
  • Rasha M. Ibrahim,
  • Samar Saleh Emara,
  • Sara Abdelkader Elawady

摘要

Background

Patients with Epilepsy are at risk for maladaptive online behaviors due to isolation and reduced social engagement, with anxiety contributing to excessive online activities and problematic internet use. Therefore, this observational, cross-sectional study sought to assess the rate and severity of internet use and anxiety among 130 conveniently selected patients with epilepsy, in relation to the severity of their condition. The clinical neurology sheet, EEG, National Hospital Seizure Severity Scale, Young Internet Addiction Scale, and Hamilton Anxiety Rating Scale were applied to all patients.

Results

The study indicated a high prevalence of Internet addiction and anxiety among patients with epilepsy, with 73.1% exhibiting Internet addiction, of which 35% had moderate severity. Additionally, 43% of the subjects presented with severe anxiety symptoms. Factors such as young age, unmarried social status, and levetiracetam use increase the risk of internet addiction. Severe epilepsy is predicted by both addiction and anxiety. While young age and severe epilepsy predict internet addiction.

Conclusion

The study emphasizes the importance of screening for internet addiction in patients with epilepsy and suggests that reducing screen time could help break the cycle of anxiety and isolation.